Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Another major gap is the absence of financial and gender-disaggregated data. The census records the number of establishments ...

Background Digital therapeutics (DTx) show promise in bridging mental healthcare gaps. However, treatment selection often relies on availability and trial-and-error, prolonging suffering and ...

The particle physics department (DPNC) studies the fundamental structures and laws of nature from the largest dimensions in the Universe to the smallest of the microcosm by using three complementary ...

For the first time in more than two decades, Pakistan has produced a national economic census. It counted over 7.1 million establishments and geo-tagged nearly 40 million structures, making it the ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Atlas, Boston Dynamics’ dancing humanoid, can now use a single model for walking and grasping—a significant step toward ...

Small Language Models (SLMs) are redefining enterprise AI by offering faster, more efficient, and cost-effective solutions ...

NASA and IBM have released a new open-source machine learning model to help scientists better understand and predict the physics and weather patterns of the sun. Surya, trained on over a decade ...